2 citations · 2 across the 3 of their papers we have counts for
3 papers
astro-ph.IM2023★ 2 cited
Astronomical Images Quality Assessment with Automated Machine Learning
Olivier Parisot, Pierrick Bruneau, Patrik Hitzelberger
Electronically Assisted Astronomy consists in capturing deep sky images with a digital camera coupled to a telescope to display views of celestial objects that would have been invi…
cs.CV2023
Détection d'objets célestes dans des images astronomiques par IA explicable
Olivier Parisot, Mahmoud Jaziri
Amateur and professional astronomers can easily capture a large number of deep sky images with recent smart telescopes. However, afterwards verification is still required to check…
cs.CV2023
Amélioration de la qualité d'images avec un algorithme d'optimisation inspirée par la nature
Olivier Parisot, Thomas Tamisier
Reproducible images preprocessing is important in the field of computer vision, for efficient algorithms comparison or for new images corpus preparation. In this paper, we propose…